Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The ubiquity of automobiles has made it so that a considerable amount of space is devoted to them in cities. In the past, urban scholars considered these car-dedicated spaces to be ‘non-places’ that hindered place attachment and social life in cities. This article investigates new place-making efforts in these spaces by examining the documentary film Life on Wheels that offers alternatives. Within the ‘new mobility paradigm’, social space is considered an assemblage of social interactions, objects (e.g. technologies), geographical locations, emplacements and communication networks. Through the analysis of the film, this article investigates the social opportunities and challenges that driverless cars may bring to the urban space. More specifically, in this article, the film shows that the technoscape of driverless cars can direct the city towards a shift in socio-spatial urban design and planning. A profound analytical reading illuminates the need for further social development of this technology. While the technoscape of driverless cars in the current state is in its infancy, its produced social space is yet to be scrutinized; However, at this stage of technology development, the film shows that the driverless environment can help us work towards a new way of understanding mobility spaces and their socio-technological characteristics. This article identifies the social urbanism in car-dedicated spaces projected in films and how this social urbanism can be attainable via new technologies or a transformational shift in mobility.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it